Πλοήγηση ανά Θέμα "Gesture recognition"
Αποτελέσματα 1-11 από 11
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Arm Gesture Recognition using a Convolutional Neural Network
(2018)In this paper we present an approach towards arm gesture recognition that uses a Convolutional Neural Network (CNN), which is trained on Discrete Fourier Transform (DFT) images that result from raw sensor readings. More ... -
Convolutional neural networks for pose recognition in binary omni-directional images
(2016)In this work, we present a methodology for pose classification of silhouettes using convolutional neural networks. The training set consists exclusively from the synthetic images that are generated from three-dimensional ... -
Deep Learning Models for Yoga Pose Monitoring
(2022)Activity recognition is the process of continuously monitoring a person’s activity and movement. Human posture recognition can be utilized to assemble a self-guidance practice framework that permits individuals to accurately ... -
Full action instances for motion analysis
(2009)Motion analysis is an important component of surveillance,video annotation and many other applications. Current work focuses on the tracking of moving entities, the representation of their actions and the classification ... -
Gesture recognition technologies for gestural know-how management: Preservation and transmission of expert gestures in wheel throwing pottery
(2015)The acquisition of gestural know-how in manual professions constitutes a real challenge since it passes from master to learner, through a many years long « in person » transmission. However this binding transmission is not ... -
Initialization of dynamic time warping using tree-based fast Nearest Neighbor
(2016)An efficient way to perform Dynamic Time Warping (DTW) search is by using the LBKeogh lower bound, which can eliminate a large number of candidate vectors out of the search process. Although effective, LBKeogh begins the ... -
Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters
(2016)In this paper, we propose a complete gesture recognition framework based on maximum cosine similarity and fast nearest neighbor (NN) techniques, which offers high-recognition accuracy and great computational advantages for ... -
Pose recognition using convolutional neural networks on omni-directional images
(2018)Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image ... -
Rapid prototype development for studying human activity
(2010)Recent years there is an extremely growing interest in the study of human motion. A large amount of scientific research projects deal with problems like monitoring human motion, gesture and posture recognition, fall detection ... -
Real-time arm gesture recognition using 3D skeleton joint data
(2019)In this paper we present an approach towards real-time hand gesture recognition using the Kinect sensor, investigating several machine learning techniques. We propose a novel approach for feature extraction, using measurements ... -
User authentication method and implementation using a three-axis accelerometer
(2010)The rapid growth of accelerometer use on consumer electronics has brought an opportunity for unique user authentication. We present an efficient recognition algorithm for such interaction using a single three-axis ...